\begin{table}[h!]
\centering
\caption{Interaction Effect of Matched Gender and Interviewee Gender}
\centering
\begin{tabular}[t]{lcc}
\toprule
& \multicolumn{2}{c}{\textit{Dependent Variable}}\\
& Interview Scheduled & Email Response\\
\midrule
Matched Gender & \num{0.123}* & \num{0.163}\\
 & (\num{0.066}) & (\num{0.107})\\
Interviewee Gender & \num{0.149}** & \num{0.165}*\\
 & (\num{0.058}) & (\num{0.094})\\
Interaction Effect & \num{-0.165}* & \num{-0.221}\\
 & (\num{0.099}) & (\num{0.145})\\
\midrule
Num.Obs. & \num{173} & \num{173}\\
R2 & \num{0.030} & \num{0.020}\\
\bottomrule
\multicolumn{3}{l}{\rule{0pt}{1em}* p $<$ 0.1, ** p $<$ 0.05}\\
\end{tabular}
\begin{tablenotes}
   \footnotesize \textit{Note:} OLS regression models, robust SEs. Matched gender: 1 if elite and treatment are same gender; 0 otherwise. Interviewee gender: 1 if male; 0 if female. Interaction effect: interaction of matched gender and interviewee gender. DV: outcome variable (1 if yes; 0 if no).
\end{tablenotes}
\end{table}
